Walter Rocchia
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.5%
- Materials Chemistry top 10%
- Biomedical Engineering top 5%
- Atomic and Molecular Physics, and Optics top 5%
- Co-authors
- Emil AlexovBarry HonigSergio DecherchiAndrea CavalliA. ChiabreraAnthony NichollsGiovanni BottegoniMatteo Masetti
- Topics
- Protein Structure and Dynamics (35 papers)Computational Drug Discovery Methods (14 papers)Enzyme Structure and Function (11 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Walter Rocchia
85 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 2.4k
- Computational Theory and Mathematics 701
- Materials Chemistry 672
- Biomedical Engineering 542
- Atomic and Molecular Physics, and Optics 395
Countries citing papers authored by Walter Rocchia
This map shows the geographic impact of Walter Rocchia's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Walter Rocchia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walter Rocchia more than expected).
Fields of papers citing papers by Walter Rocchia
This network shows the impact of papers produced by Walter Rocchia. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Walter Rocchia. The network helps show where Walter Rocchia may publish in the future.
Co-authorship network of co-authors of Walter Rocchia
This figure shows the co-authorship network connecting the top 25 collaborators of Walter Rocchia. A scholar is included among the top collaborators of Walter Rocchia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Walter Rocchia. Walter Rocchia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 2 | |
| 4 | 12 | |
| 5 | 7 | |
| 6 | 27 | |
| 7 | 26 | |
| 8 | 26 | |
| 9 | 9 | |
| 10 | 8 | |
| 11 | 46 | |
| 12 | 65 | |
| 13 | 2 | |
| 14 | 11 | |
| 15 | 47 | |
| 16 | 21 | |
| 17 | 46 | |
| 18 | DelPhi webserver: Comprehensive suite for electrostatic calculations of biological macromolecules and their complexes | 1 |
| 19 | 7 | |
| 20 | 9 |
About Walter Rocchia
Walter Rocchia is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry and Molecular Biology, having authored 90 papers that have together received 3.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (35 papers), Computational Drug Discovery Methods (14 papers) and Enzyme Structure and Function (11 papers). The work is most often cited by research in Computational Theory and Mathematics (701 citations), Molecular Biology (2.4k citations) and Physical and Theoretical Chemistry (214 citations). Walter Rocchia has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Emil Alexov, Barry Honig, Sergio Decherchi, Andrea Cavalli, A. Chiabrera, Anthony Nicholls, Giovanni Bottegoni, Matteo Masetti, Anna Berteotti and Andrea Spitaleri. Their work appears in journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Nature Communications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.